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Services Disclosure Note, October 2023

FarmOne has temporarily paused new client servicing and appraisal work, but continues to serve present contract obligations and maintenance consulting. If you are a current or former client, please use your F1 access code on the Client Login page. Our services and project information are presently unavailable publically, but please contact Oscar at oscartkavanagh@outlook.com or click the contact button for more information.

Let's look at the most potent applications in agriculture for livestock, energy, crop, water, and soil management and control:

Livestock Management

  • Pesticides and fertilizers

  • Fertility prediction

  • Soil sensitivity

  • Moisture prediction

  • Organic carbon prediction

  • Insect detection

(New) Machine Learning-enabled implements:

  1. Detecting animal diseases

    In recent years, there has been a dramatic increase in the use of ML algorithms for anomaly detection and control of animal diseases. By continuously analyzing images and videos of animals with the help of computer vision, ML-based systems can assess animals’ health and behavior, allowing for the early identification of diseases and prevention of sickness spreading.

  2. Tracking Feeding

    To ensure that animals are adequately fed, IoT- and ML-based tools can help monitor animals’ feeding habits. This information can be used to detect animals with anomalous nutrition patterns, which can be a sign of health problems. Farmers can also better understand how different types and volumes of food impact animals’ weight, metabolic efficiency, and production. Ultimately, ML can help farmers to improve their methods and proactively respond to the needs of individual animals.

  3. Grazing Control

    Overgrazing can lead to soil compaction and erosion, which can reduce infiltration rates and increase runoff. This can eventually lead to water pollution and the degradation of water quality. ML-based tools can predict how various grazing scenarios will impact water resources. By analyzing many factors including land cover type, topography, rainfall patterns, and livestock density, farmers and ranchers can make more informed decisions about where and when to graze their animals.

Energy

  • Utility Consumption and Bandwidth (originated grid usages)

  • Production

    • farm machinery

    • barn flow and facilitation

    • parlor consumption

    • water management and irrigation

    • cultivation and harvesting

  • Post-production

    • energy for food processing

    • storage and in transport to markets.

Crop Management

  • Yield prediction

  • Disease detection

  • Weed detection

  • Crop recognition

  • Grading by quality

  • Selective breeding

Water Management

  • Irrigation

  • Soil water monitoring

  • Leak detection

  • Weather monitoring

  • Weather prediction

  • Water usage prediction

Soil Management

  • Pesticides and fertilizers

  • Fertility prediction

  • Soil sensitivity

  • Moisture prediction

  • Organic carbon prediction

  • Insect detection

Unsure what needs are most urgent for you? Leave that to us. Our free, on-site appraisal scrutinizes the strengths and options for your operation’s success to meet the world of innovative tech head-on. Click here to connect with the FarmOne team.